Last compiled on : 07 February, 2022

---
title: "Kerala weather warning dashboard"
output: 
  flexdashboard::flex_dashboard:
    theme:
      bg: "#101010"
      fg: "#FDF7F7" 
      primary: "#fa8072"
      base_font:
        google: Prompt
      code_font:
        google: JetBrains Mono
    orientation: columns
    vertical_layout: scroll
    social: menu
    source_code: embed
---


Last compiled on : `r format(Sys.time(), '%d %B, %Y')`

```{r setup, include=FALSE}


if (!require("pacman")) install.packages("pacman")
pacman::p_load(tidyverse,sf,glue,lubridate, flexdashboard, ggiraph)



# load data

map_in <- st_read("./data/kerala/kerala_lak.shp")

weather_a  <- read_csv("./data/weather_warn.csv")


# re-code

weather_a[weather_a == "No rain"] <- "0"
weather_a[weather_a == "L." ] <- "1"
weather_a[weather_a == "VL" ] <- "0"
weather_a[weather_a == "VL." ] <- "0"
weather_a[weather_a == "M" ] <- "2"
weather_a[weather_a == "M." ] <- "2"
weather_a[weather_a == "H" ] <- "3"
weather_a[weather_a == "H." ] <- "3"
weather_a[weather_a == "VH" ] <- "4"
weather_a[weather_a == "VH." ] <- "4"
weather_a[weather_a == "XH" ] <- "5"
weather_a[weather_a == "XH." ] <- "5"


# col

colnames(weather_a)[1] <- "Name_1"

# shp + csv

map_latest <- merge(map_in,weather_a, by ="Name_1") %>% 
  filter(!grepl('Lakshadweep', Name_1))


# Col names

col2 <- sym(names(map_latest)[2])
col3 <- sym(names(map_latest)[3])
col4 <- sym(names(map_latest)[4])
col5 <- sym(names(map_latest)[5])
col6 <- sym(names(map_latest)[6])
```

Column {.tabset}
-----------------------------------------------------------------------

### Day 1 

```{r fig.width=8, fig.height=12, fig.fullwidth=TRUE }
# Plot Day 1


g1 <- ggplot(map_latest) +
  geom_sf(aes(fill = !!col2)) +
  geom_sf_interactive(aes(fill = !!col2,tooltip = Name_1))+
  scale_fill_manual(
    labels = c(
      "No alert",
      "Green alert",
      "Yello alert",
      "Orange alert",
      "Red alert",
      "Extreme heavy rainfall"
    ),
    values = c('White', 'Green', 'Yellow', 'Orange', 'Red', '#8B0000')
  ) +
  labs(title = "Kerala weather warning",
       subtitle = glue("Date: {col2} {year(now())}"),
      caption = "Source: IMD, Created by: Open-oven") +
  theme_void()

girafe( ggobj = g1)

```

### Day 2 

```{r fig.width=8, fig.height=12, fig.fullwidth=TRUE}
# Plot Day 2


g2 <- ggplot(map_latest) +
  geom_sf(aes(fill = !!col3)) +
  geom_sf_interactive(aes(fill = !!col3,tooltip = Name_1))+
  scale_fill_manual(
    labels = c(
      "No alert",
      "Green alert",
      "Yello alert",
      "Orange alert",
      "Red alert",
      "Extreme heavy rainfall"
    ),
    values = c('White', 'Green', 'Yellow', 'Orange', 'Red', '#8B0000')
  ) +
  labs(title = "Kerala weather warning",
       subtitle = glue("Date: {col3} {year(now())}"),
       caption = "Source: IMD, Created by: Open-oven") +
  theme_void()

girafe( ggobj = g2)
```



### Day 3  

```{r fig.width=8, fig.height=12, fig.fullwidth=TRUE}
# Plot Day 3

g3 <- ggplot(map_latest) +
  geom_sf(aes(fill = !!col4)) +
  geom_sf_interactive(aes(fill = !!col4,tooltip = Name_1))+
  scale_fill_manual(
    labels = c(
      "No alert",
      "Green alert",
      "Yello alert",
      "Orange alert",
      "Red alert",
      "Extreme heavy rainfall"
    ),
    values = c('White', 'Green', 'Yellow', 'Orange', 'Red', '#8B0000')
  ) +
  labs(title = "Kerala weather warning",
       subtitle = glue("Date: {col4} {year(now())}"),
       caption = "Source: IMD, Created by: Open-oven") +
  theme_void()

girafe( ggobj = g3)

```

### Day 4 

```{r fig.width=8, fig.height=12, fig.fullwidth=TRUE}

# Plot Day 4

g4 <- ggplot(map_latest) +
  geom_sf(aes(fill = !!col5)) +
  geom_sf_interactive(aes(fill = !!col5,tooltip = Name_1))+
  scale_fill_manual(
    labels = c(
      "No alert",
      "Green alert",
      "Yello alert",
      "Orange alert",
      "Red alert",
      "Extreme heavy rainfall"
    ),
    values = c('White', 'Green', 'Yellow', 'Orange', 'Red', '#8B0000')
  ) +
  labs(title = "Kerala weather warning",
       subtitle = glue("Date: {col5} {year(now())}"),
       caption = "Source: IMD, Created by: Open-oven") +
  theme_void()

girafe( ggobj = g4)
```

### Day 5  

```{r fig.width=8, fig.height=12, fig.fullwidth=TRUE}


# Plot Day 5

g5 <- ggplot(map_latest) +
  geom_sf(aes(fill = !!col6)) +
  geom_sf_interactive(aes(fill = !!col6,tooltip = Name_1))+
  scale_fill_manual(
    labels = c(
      "No alert",
      "Green alert",
      "Yello alert",
      "Orange alert",
      "Red alert",
      "Extreme heavy rainfall"
    ),
    values = c('White', 'Green', 'Yellow', 'Orange', 'Red', '#8B0000')
  ) +
  labs(title = "Kerala weather warning",
       subtitle = glue("Date: {col6} {year(now())}"),
       caption = "Source: IMD, Created by: Open-oven") +
  theme_void()

girafe( ggobj = g5)
#ggiraph(code = {print(g5)}, zoom_max = 1, width = 10)
```